Overview

Dataset statistics

Number of variables16
Number of observations178532
Missing cells0
Missing cells (%)0.0%
Duplicate rows526
Duplicate rows (%)0.3%
Total size in memory21.8 MiB
Average record size in memory128.0 B

Variable types

Numeric16

Alerts

Dataset has 526 (0.3%) duplicate rowsDuplicates
Video Initial Max DL Rate(kbps) is highly overall correlated with Initial Buffering Latency(ms)High correlation
E2E RTT(ms) is highly overall correlated with Initial Buffering Latency(ms)High correlation
Initial Buffering Latency(ms) is highly overall correlated with Video Initial Max DL Rate(kbps) and 1 other fieldsHigh correlation
Video Total DL Rate(kbps) is highly overall correlated with Stalling Length and 8 other fieldsHigh correlation
Stalling Length is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
Playing Length is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
Stalling times is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
video bitrate is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
Video Initial buffer download is highly overall correlated with Video Total DL Rate(kbps) and 7 other fieldsHigh correlation
SQuality is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
SLoading is highly overall correlated with Video Total DL Rate(kbps) and 7 other fieldsHigh correlation
Stalling is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
VMoS is highly overall correlated with Video Total DL Rate(kbps) and 8 other fieldsHigh correlation
Stalling Ratio is highly skewed (γ1 = 46.27848273)Skewed
Stalling Ratio has 170392 (95.4%) zerosZeros
Stalling Length has 85108 (47.7%) zerosZeros
Playing Length has 85108 (47.7%) zerosZeros
Stalling times has 85096 (47.7%) zerosZeros
video bitrate has 85096 (47.7%) zerosZeros

Reproduction

Analysis started2023-02-12 17:25:02.816302
Analysis finished2023-02-12 17:25:45.676345
Duration42.86 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Distinct31187
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40750.748
Minimum304
Maximum159225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:45.777700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum304
5-th percentile10554
Q123187
median37228
Q355200
95-th percentile82317
Maximum159225
Range158921
Interquartile range (IQR)32013

Descriptive statistics

Standard deviation22157.047
Coefficient of variation (CV)0.54372122
Kurtosis-0.24382352
Mean40750.748
Median Absolute Deviation (MAD)15498
Skewness0.60175079
Sum7.2753126 × 109
Variance4.9093472 × 108
MonotonicityNot monotonic
2023-02-12T22:55:45.938663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20800 142
 
0.1%
33600 116
 
0.1%
44800 116
 
0.1%
21328 114
 
0.1%
18484 108
 
0.1%
17062 106
 
0.1%
14218 106
 
0.1%
21000 104
 
0.1%
22750 104
 
0.1%
11375 94
 
0.1%
Other values (31177) 177422
99.4%
ValueCountFrequency (%)
304 2
< 0.1%
507 2
< 0.1%
1010 2
< 0.1%
1082 2
< 0.1%
1218 2
< 0.1%
1307 2
< 0.1%
1320 2
< 0.1%
1421 2
< 0.1%
1516 2
< 0.1%
1517 2
< 0.1%
ValueCountFrequency (%)
159225 2
< 0.1%
159079 2
< 0.1%
148862 2
< 0.1%
147913 2
< 0.1%
146543 2
< 0.1%
142991 2
< 0.1%
140863 2
< 0.1%
140753 2
< 0.1%
138666 2
< 0.1%
138462 2
< 0.1%

E2E RTT(ms)
Real number (ℝ)

Distinct135
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.102917
Minimum15
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:46.105169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile26
Q135
median47
Q361
95-th percentile96
Maximum149
Range134
Interquartile range (IQR)26

Descriptive statistics

Standard deviation21.701534
Coefficient of variation (CV)0.42466331
Kurtosis2.010357
Mean51.102917
Median Absolute Deviation (MAD)12
Skewness1.3429239
Sum9123506
Variance470.95657
MonotonicityNot monotonic
2023-02-12T22:55:46.265656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 5084
 
2.8%
35 4834
 
2.7%
37 4804
 
2.7%
34 4596
 
2.6%
31 4420
 
2.5%
33 4416
 
2.5%
30 4386
 
2.5%
38 4264
 
2.4%
32 4252
 
2.4%
29 4226
 
2.4%
Other values (125) 133250
74.6%
ValueCountFrequency (%)
15 2
 
< 0.1%
16 8
 
< 0.1%
17 16
 
< 0.1%
18 48
 
< 0.1%
19 66
 
< 0.1%
20 192
 
0.1%
21 686
0.4%
22 1474
0.8%
23 1584
0.9%
24 1524
0.9%
ValueCountFrequency (%)
149 4
 
< 0.1%
148 16
< 0.1%
147 16
< 0.1%
146 16
< 0.1%
145 20
< 0.1%
144 12
< 0.1%
143 12
< 0.1%
142 16
< 0.1%
141 22
< 0.1%
140 24
< 0.1%
Distinct5968
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5770.2592
Minimum10
Maximum29332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:46.465956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile4028
Q15655
median5921
Q36148
95-th percentile6594
Maximum29332
Range29322
Interquartile range (IQR)493

Descriptive statistics

Standard deviation909.90206
Coefficient of variation (CV)0.15768825
Kurtosis36.619287
Mean5770.2592
Median Absolute Deviation (MAD)241
Skewness-0.98940558
Sum1.0301759 × 109
Variance827921.76
MonotonicityNot monotonic
2023-02-12T22:55:46.687007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6118 304
 
0.2%
6110 296
 
0.2%
6091 290
 
0.2%
6100 290
 
0.2%
6127 288
 
0.2%
6105 288
 
0.2%
6116 288
 
0.2%
6119 286
 
0.2%
5923 284
 
0.2%
6097 282
 
0.2%
Other values (5958) 175636
98.4%
ValueCountFrequency (%)
10 2
< 0.1%
18 2
< 0.1%
39 2
< 0.1%
41 2
< 0.1%
52 2
< 0.1%
56 2
< 0.1%
70 2
< 0.1%
82 4
< 0.1%
84 2
< 0.1%
98 2
< 0.1%
ValueCountFrequency (%)
29332 2
< 0.1%
27333 2
< 0.1%
26682 2
< 0.1%
25866 2
< 0.1%
25739 2
< 0.1%
25486 2
< 0.1%
24083 2
< 0.1%
21242 2
< 0.1%
20477 2
< 0.1%
19683 2
< 0.1%
Distinct4951
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1400.4724
Minimum506
Maximum30552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:46.920358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum506
5-th percentile663
Q1854
median1084
Q31522
95-th percentile2787
Maximum30552
Range30046
Interquartile range (IQR)668

Descriptive statistics

Standard deviation1286.3201
Coefficient of variation (CV)0.91849012
Kurtosis94.716115
Mean1400.4724
Median Absolute Deviation (MAD)285
Skewness7.8356401
Sum2.5002914 × 108
Variance1654619.3
MonotonicityNot monotonic
2023-02-12T22:55:47.109869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
978 260
 
0.1%
813 258
 
0.1%
1011 248
 
0.1%
778 244
 
0.1%
893 242
 
0.1%
986 242
 
0.1%
816 242
 
0.1%
912 238
 
0.1%
979 238
 
0.1%
997 238
 
0.1%
Other values (4941) 176082
98.6%
ValueCountFrequency (%)
506 2
 
< 0.1%
510 2
 
< 0.1%
532 2
 
< 0.1%
538 4
< 0.1%
539 2
 
< 0.1%
540 4
< 0.1%
542 4
< 0.1%
543 2
 
< 0.1%
544 2
 
< 0.1%
545 8
< 0.1%
ValueCountFrequency (%)
30552 2
 
< 0.1%
30154 2
 
< 0.1%
29696 2
 
< 0.1%
29148 2
 
< 0.1%
28758 2
 
< 0.1%
28519 2
 
< 0.1%
27331 2
 
< 0.1%
27307 2
 
< 0.1%
25921 6
< 0.1%
25295 2
 
< 0.1%

Stalling Ratio
Real number (ℝ)

SKEWED  ZEROS 

Distinct1662
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.046852027
Minimum0
Maximum44.667
Zeros170392
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:47.289985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44.667
Range44.667
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7209257
Coefficient of variation (CV)15.38729
Kurtosis2554.8508
Mean0.046852027
Median Absolute Deviation (MAD)0
Skewness46.278483
Sum8364.586
Variance0.51973387
MonotonicityNot monotonic
2023-02-12T22:55:47.486041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 170392
95.4%
0.027 76
 
< 0.1%
0.015 74
 
< 0.1%
0.028 60
 
< 0.1%
0.025 56
 
< 0.1%
0.024 56
 
< 0.1%
0.023 56
 
< 0.1%
0.044 52
 
< 0.1%
0.032 52
 
< 0.1%
0.022 50
 
< 0.1%
Other values (1652) 7608
 
4.3%
ValueCountFrequency (%)
0 170392
95.4%
0.001 42
 
< 0.1%
0.002 16
 
< 0.1%
0.003 26
 
< 0.1%
0.004 20
 
< 0.1%
0.005 26
 
< 0.1%
0.006 14
 
< 0.1%
0.007 16
 
< 0.1%
0.008 24
 
< 0.1%
0.009 28
 
< 0.1%
ValueCountFrequency (%)
44.667 2
< 0.1%
43.388 2
< 0.1%
43.19 2
< 0.1%
43.063 2
< 0.1%
42.803 2
< 0.1%
42.544 2
< 0.1%
42.366 2
< 0.1%
42.235 2
< 0.1%
42.233 2
< 0.1%
41.805 2
< 0.1%
Distinct6318
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2960.8546
Minimum1
Maximum29174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:47.687634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.62
Q13.97
median16.075
Q36073
95-th percentile6523
Maximum29174
Range29173
Interquartile range (IQR)6069.03

Descriptive statistics

Standard deviation3027.0811
Coefficient of variation (CV)1.0223674
Kurtosis-1.7324061
Mean2960.8546
Median Absolute Deviation (MAD)15.075
Skewness0.1178444
Sum5.2860729 × 108
Variance9163220.1
MonotonicityNot monotonic
2023-02-12T22:55:48.255197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 3384
 
1.9%
4.05 3325
 
1.9%
4.02 3287
 
1.8%
4.06 3249
 
1.8%
3.99 3230
 
1.8%
4.03 3214
 
1.8%
4.01 3211
 
1.8%
4.04 3083
 
1.7%
4.07 3075
 
1.7%
3.98 3008
 
1.7%
Other values (6308) 146466
82.0%
ValueCountFrequency (%)
1 2282
1.3%
1.01 2
 
< 0.1%
1.02 4
 
< 0.1%
1.03 3
 
< 0.1%
1.04 2
 
< 0.1%
1.05 3
 
< 0.1%
1.06 5
 
< 0.1%
1.07 2
 
< 0.1%
1.08 2
 
< 0.1%
1.09 4
 
< 0.1%
ValueCountFrequency (%)
29174 1
< 0.1%
27362 1
< 0.1%
26103 1
< 0.1%
25774 1
< 0.1%
25655 1
< 0.1%
25599 1
< 0.1%
23747 1
< 0.1%
21245 1
< 0.1%
20184 1
< 0.1%
19654 1
< 0.1%

Stalling Length
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8432
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3161.8215
Minimum0
Maximum29346
Zeros85108
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:48.393506image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3365
Q36085
95-th percentile6635
Maximum29346
Range29346
Interquartile range (IQR)6085

Descriptive statistics

Standard deviation3339.5259
Coefficient of variation (CV)1.0562032
Kurtosis3.0728352
Mean3161.8215
Median Absolute Deviation (MAD)3365
Skewness0.91464791
Sum5.6448632 × 108
Variance11152433
MonotonicityNot monotonic
2023-02-12T22:55:48.529199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85108
47.7%
6114 219
 
0.1%
6087 215
 
0.1%
6095 214
 
0.1%
6094 213
 
0.1%
6117 213
 
0.1%
6093 210
 
0.1%
6089 208
 
0.1%
6085 206
 
0.1%
6082 205
 
0.1%
Other values (8422) 91521
51.3%
ValueCountFrequency (%)
0 85108
47.7%
1 12
 
< 0.1%
2 15
 
< 0.1%
3 7
 
< 0.1%
4 6
 
< 0.1%
5 9
 
< 0.1%
6 6
 
< 0.1%
7 3
 
< 0.1%
8 6
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
29346 1
< 0.1%
29330 1
< 0.1%
29326 2
< 0.1%
29320 1
< 0.1%
29317 1
< 0.1%
29313 1
< 0.1%
29311 1
< 0.1%
29310 1
< 0.1%
29305 1
< 0.1%
29304 2
< 0.1%

Playing Length
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6996
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15004.103
Minimum0
Maximum30100
Zeros85108
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:48.687989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15003
Q330005
95-th percentile30016
Maximum30100
Range30100
Interquartile range (IQR)30005

Descriptive statistics

Standard deviation14811.765
Coefficient of variation (CV)0.98718096
Kurtosis-1.9799752
Mean15004.103
Median Absolute Deviation (MAD)15003
Skewness4.8869863 × 10-6
Sum2.6787126 × 109
Variance2.1938839 × 108
MonotonicityNot monotonic
2023-02-12T22:55:48.845617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85108
47.7%
30004 15302
 
8.6%
30003 12881
 
7.2%
30005 10657
 
6.0%
30006 7644
 
4.3%
30007 5507
 
3.1%
30002 4434
 
2.5%
30008 4255
 
2.4%
30009 3468
 
1.9%
30010 2787
 
1.6%
Other values (6986) 26489
 
14.8%
ValueCountFrequency (%)
0 85108
47.7%
1 12
 
< 0.1%
2 15
 
< 0.1%
3 7
 
< 0.1%
4 6
 
< 0.1%
5 9
 
< 0.1%
6 6
 
< 0.1%
7 3
 
< 0.1%
8 6
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
30100 2
 
< 0.1%
30099 8
< 0.1%
30098 9
< 0.1%
30097 2
 
< 0.1%
30096 6
< 0.1%
30095 5
< 0.1%
30094 6
< 0.1%
30093 6
< 0.1%
30092 7
< 0.1%
30091 10
< 0.1%
Distinct3668
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29805.328
Minimum657
Maximum30100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:49.007425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum657
5-th percentile30002
Q130004
median30005
Q330009
95-th percentile30023
Maximum30100
Range29443
Interquartile range (IQR)5

Descriptive statistics

Standard deviation1783.0722
Coefficient of variation (CV)0.059823942
Kurtosis116.01127
Mean29805.328
Median Absolute Deviation (MAD)2
Skewness-10.393028
Sum5.3212048 × 109
Variance3179346.5
MonotonicityNot monotonic
2023-02-12T22:55:49.172022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30004 31432
17.6%
30003 26333
14.7%
30005 22050
12.4%
30006 15781
8.8%
30007 11306
 
6.3%
30002 9046
 
5.1%
30008 8681
 
4.9%
30009 7083
 
4.0%
30010 5705
 
3.2%
30011 4728
 
2.6%
Other values (3658) 36387
20.4%
ValueCountFrequency (%)
657 1
 
< 0.1%
676 1
 
< 0.1%
679 1
 
< 0.1%
681 1
 
< 0.1%
685 1
 
< 0.1%
689 1
 
< 0.1%
692 1
 
< 0.1%
694 2
< 0.1%
701 3
< 0.1%
716 1
 
< 0.1%
ValueCountFrequency (%)
30100 4
 
< 0.1%
30099 16
< 0.1%
30098 18
< 0.1%
30097 4
 
< 0.1%
30096 12
< 0.1%
30095 11
< 0.1%
30094 12
< 0.1%
30093 12
< 0.1%
30092 14
< 0.1%
30091 20
< 0.1%

Stalling times
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15004.175
Minimum0
Maximum30100
Zeros85096
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:49.332068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median15005
Q330005
95-th percentile30016
Maximum30100
Range30100
Interquartile range (IQR)30005

Descriptive statistics

Standard deviation15004.075
Coefficient of variation (CV)0.99999331
Kurtosis-2.0000217
Mean15004.175
Median Absolute Deviation (MAD)15005
Skewness4.9051286 × 10-7
Sum2.6787254 × 109
Variance2.2512226 × 108
MonotonicityNot monotonic
2023-02-12T22:55:49.475270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85096
47.7%
30004 16130
 
9.0%
30003 13452
 
7.5%
30005 11393
 
6.4%
30006 8137
 
4.6%
30007 5799
 
3.2%
30002 4612
 
2.6%
30008 4426
 
2.5%
30009 3615
 
2.0%
30010 2918
 
1.6%
Other values (102) 22954
 
12.9%
ValueCountFrequency (%)
0 85096
47.7%
1 1502
 
0.8%
2 486
 
0.3%
3 484
 
0.3%
4 554
 
0.3%
5 503
 
0.3%
6 374
 
0.2%
7 218
 
0.1%
8 47
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
30100 2
 
< 0.1%
30099 8
< 0.1%
30098 9
< 0.1%
30097 2
 
< 0.1%
30096 6
< 0.1%
30095 6
< 0.1%
30094 6
< 0.1%
30093 6
< 0.1%
30092 7
< 0.1%
30091 10
< 0.1%

video bitrate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1467.2196
Minimum0
Maximum2966
Zeros85096
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:49.622467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1456.5
Q32934
95-th percentile2966
Maximum2966
Range2966
Interquartile range (IQR)2934

Descriptive statistics

Standard deviation1467.1931
Coefficient of variation (CV)0.99998196
Kurtosis-1.9994057
Mean1467.2196
Median Absolute Deviation (MAD)1456.5
Skewness0.00046153644
Sum2.6194565 × 108
Variance2152655.7
MonotonicityNot monotonic
2023-02-12T22:55:49.750488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 85096
47.7%
2903 29872
 
16.7%
2966 29763
 
16.7%
2934 29631
 
16.6%
1 1502
 
0.8%
4 554
 
0.3%
5 503
 
0.3%
2 486
 
0.3%
3 484
 
0.3%
6 374
 
0.2%
Other values (4) 267
 
0.1%
ValueCountFrequency (%)
0 85096
47.7%
1 1502
 
0.8%
2 486
 
0.3%
3 484
 
0.3%
4 554
 
0.3%
5 503
 
0.3%
6 374
 
0.2%
7 218
 
0.1%
8 47
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
2966 29763
16.7%
2934 29631
16.6%
2903 29872
16.7%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 47
 
< 0.1%
7 218
 
0.1%
6 374
 
0.2%
5 503
 
0.3%
4 554
 
0.3%
Distinct24210
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792842.11
Minimum2903
Maximum3909478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:49.922720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2903
5-th percentile2903
Q12934
median24279
Q31571792
95-th percentile1638092
Maximum3909478
Range3906575
Interquartile range (IQR)1568858

Descriptive statistics

Standard deviation791255.61
Coefficient of variation (CV)0.99799897
Kurtosis-1.983589
Mean792842.11
Median Absolute Deviation (MAD)21376
Skewness0.0095999788
Sum1.4154769 × 1011
Variance6.2608544 × 1011
MonotonicityNot monotonic
2023-02-12T22:55:50.120301image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2903 29872
 
16.7%
2966 29763
 
16.7%
2934 29631
 
16.6%
1565292 890
 
0.5%
1547092 633
 
0.4%
1528892 556
 
0.3%
1539292 477
 
0.3%
1541892 433
 
0.2%
1563892 432
 
0.2%
1567892 410
 
0.2%
Other values (24200) 85435
47.9%
ValueCountFrequency (%)
2903 29872
16.7%
2934 29631
16.6%
2966 29763
16.7%
45592 1
 
< 0.1%
46332 1
 
< 0.1%
46892 1
 
< 0.1%
47540 1
 
< 0.1%
54692 2
 
< 0.1%
54869 1
 
< 0.1%
55477 1
 
< 0.1%
ValueCountFrequency (%)
3909478 1
< 0.1%
3655692 1
< 0.1%
3497332 1
< 0.1%
3494492 1
< 0.1%
3140292 1
< 0.1%
3110932 1
< 0.1%
2967756 1
< 0.1%
2843492 1
< 0.1%
2822532 1
< 0.1%
2811292 1
< 0.1%

SQuality
Real number (ℝ)

Distinct24209
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean791377.13
Minimum4.33
Maximum3909478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:50.292137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum4.33
5-th percentile4.33
Q14.33
median22798.17
Q31571792
95-th percentile1638092
Maximum3909478
Range3909473.7
Interquartile range (IQR)1571787.7

Descriptive statistics

Standard deviation792718.11
Coefficient of variation (CV)1.0016945
Kurtosis-1.9836643
Mean791377.13
Median Absolute Deviation (MAD)22793.84
Skewness0.009565716
Sum1.4128614 × 1011
Variance6.28402 × 1011
MonotonicityNot monotonic
2023-02-12T22:55:50.456841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.33 59503
33.3%
4.34 29763
 
16.7%
1565292 890
 
0.5%
1547092 633
 
0.4%
1528892 556
 
0.3%
1539292 477
 
0.3%
1541892 433
 
0.2%
1563892 432
 
0.2%
1567892 410
 
0.2%
1583492 408
 
0.2%
Other values (24199) 85027
47.6%
ValueCountFrequency (%)
4.33 59503
33.3%
4.34 29763
16.7%
45592 1
 
< 0.1%
46332 1
 
< 0.1%
46892 1
 
< 0.1%
47540 1
 
< 0.1%
54692 2
 
< 0.1%
54869 1
 
< 0.1%
55477 1
 
< 0.1%
56092 1
 
< 0.1%
ValueCountFrequency (%)
3909478 1
< 0.1%
3655692 1
< 0.1%
3497332 1
< 0.1%
3494492 1
< 0.1%
3140292 1
< 0.1%
3110932 1
< 0.1%
2967756 1
< 0.1%
2843492 1
< 0.1%
2822532 1
< 0.1%
2811292 1
< 0.1%

SLoading
Real number (ℝ)

Distinct349
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1208565
Minimum1
Maximum4.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:50.621170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.34
Q14.06
median4.33
Q34.33
95-th percentile4.34
Maximum4.49
Range3.49
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.41619623
Coefficient of variation (CV)0.1009975
Kurtosis16.582358
Mean4.1208565
Median Absolute Deviation (MAD)0.01
Skewness-3.4662895
Sum735704.76
Variance0.1732193
MonotonicityNot monotonic
2023-02-12T22:55:50.787014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.33 60667
34.0%
4.34 30936
17.3%
4.13 1492
 
0.8%
4.14 1448
 
0.8%
4.12 1435
 
0.8%
4.19 1409
 
0.8%
4.2 1396
 
0.8%
4.17 1387
 
0.8%
4.27 1339
 
0.8%
4.3 1338
 
0.7%
Other values (339) 75685
42.4%
ValueCountFrequency (%)
1 443
0.2%
1.01 10
 
< 0.1%
1.02 9
 
< 0.1%
1.03 7
 
< 0.1%
1.04 4
 
< 0.1%
1.05 7
 
< 0.1%
1.06 11
 
< 0.1%
1.07 3
 
< 0.1%
1.08 7
 
< 0.1%
1.09 6
 
< 0.1%
ValueCountFrequency (%)
4.49 2
 
< 0.1%
4.47 3
 
< 0.1%
4.46 24
 
< 0.1%
4.45 117
 
0.1%
4.44 272
 
0.2%
4.43 354
0.2%
4.42 436
0.2%
4.41 474
0.3%
4.4 594
0.3%
4.39 732
0.4%

Stalling
Real number (ℝ)

Distinct376
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.391211
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:50.964359image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.18
Q14.03
median4.38
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0.97

Descriptive statistics

Standard deviation0.75962278
Coefficient of variation (CV)0.17298708
Kurtosis5.0155207
Mean4.391211
Median Absolute Deviation (MAD)0.62
Skewness-1.839846
Sum783971.69
Variance0.57702676
MonotonicityNot monotonic
2023-02-12T22:55:51.122613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 85196
47.7%
1 2427
 
1.4%
4.13 1492
 
0.8%
4.14 1465
 
0.8%
4.12 1461
 
0.8%
4.2 1418
 
0.8%
4.19 1409
 
0.8%
4.17 1387
 
0.8%
4.24 1359
 
0.8%
4.26 1358
 
0.8%
Other values (366) 79560
44.6%
ValueCountFrequency (%)
1 2427
1.4%
1.01 20
 
< 0.1%
1.02 11
 
< 0.1%
1.03 10
 
< 0.1%
1.04 5
 
< 0.1%
1.05 10
 
< 0.1%
1.06 15
 
< 0.1%
1.07 6
 
< 0.1%
1.08 9
 
< 0.1%
1.09 14
 
< 0.1%
ValueCountFrequency (%)
5 85196
47.7%
4.98 21
 
< 0.1%
4.96 8
 
< 0.1%
4.94 13
 
< 0.1%
4.92 10
 
< 0.1%
4.9 13
 
< 0.1%
4.88 7
 
< 0.1%
4.86 8
 
< 0.1%
4.84 12
 
< 0.1%
4.82 14
 
< 0.1%

VMoS
Real number (ℝ)

Distinct358
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3491771
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2023-02-12T22:55:51.293066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.49
Q13.96
median4.1
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.04

Descriptive statistics

Standard deviation0.79463978
Coefficient of variation (CV)0.18271038
Kurtosis5.8141171
Mean4.3491771
Median Absolute Deviation (MAD)0.9
Skewness-1.9361115
Sum776467.29
Variance0.63145239
MonotonicityNot monotonic
2023-02-12T22:55:51.445144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 85196
47.7%
1 4266
 
2.4%
4 3393
 
1.9%
4.05 3325
 
1.9%
4.02 3298
 
1.8%
4.06 3265
 
1.8%
3.99 3230
 
1.8%
4.03 3214
 
1.8%
4.01 3211
 
1.8%
4.04 3099
 
1.7%
Other values (348) 63035
35.3%
ValueCountFrequency (%)
1 4266
2.4%
1.01 12
 
< 0.1%
1.02 6
 
< 0.1%
1.03 6
 
< 0.1%
1.04 3
 
< 0.1%
1.05 6
 
< 0.1%
1.06 9
 
< 0.1%
1.07 5
 
< 0.1%
1.08 4
 
< 0.1%
1.09 12
 
< 0.1%
ValueCountFrequency (%)
5 85196
47.7%
4.98 21
 
< 0.1%
4.96 8
 
< 0.1%
4.94 13
 
< 0.1%
4.92 10
 
< 0.1%
4.9 13
 
< 0.1%
4.88 7
 
< 0.1%
4.86 8
 
< 0.1%
4.84 12
 
< 0.1%
4.82 14
 
< 0.1%

Interactions

2023-02-12T22:55:40.972250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.292082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.340431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.368434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.221791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.030210image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.999943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.969616image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.870819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:22.310856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.981366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.514974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.984787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:32.688227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.521034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.060595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:41.183524image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.433601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.460855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.484246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.338960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.140612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.115252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.104386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.989019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:22.463789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.165415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.672168image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:30.149802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:32.880862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.688887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.225104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:41.413743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.557893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.567627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.591823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.448735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.245372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.248298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.224202image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.100240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:22.633916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.321492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.824150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:30.321291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:33.038420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.893101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.405122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:41.625674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.697011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.675563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.700291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.559187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.350981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.360677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.345311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.211581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:22.797919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.490147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.982897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:30.490776image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:33.194498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.049720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.555647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:41.841425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.827326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.786845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.809737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.667515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.454812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.477864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.471579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.318714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:22.951398image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.652785image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.130546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:30.672148image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:33.658690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.207986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.738227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:42.070649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:06.964747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.889078image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.912035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.768133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.550063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.594489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.578871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.423255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.098821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.800639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.267339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:30.838296image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:33.783982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.348853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:38.897035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:42.307650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.097935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.000621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.023349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.879924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.656118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.706881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.696565image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.532643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.274583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:25.949209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.416106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.018700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:33.935287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.505283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.055759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:42.572813image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.249169image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.114775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.131934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.995290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:14.758654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:16.842447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.810622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.648170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.447256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.102608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.565298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.185394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.093055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.674933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.214525image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:42.848274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.359135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.223604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.242153image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.103721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.036833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.006203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:18.925275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.755220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.613854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.263946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.710652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.344608image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.236671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.827318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.372120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.034997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.485257image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.333591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.352833image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.212313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.153708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.115751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.042079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:20.873572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.764363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.418480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:28.872409image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.508840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.384268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:36.979357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.572298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.214099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.603995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.440249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.462607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.320294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.281687image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.225305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.153152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.018991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:23.923137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.573034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.040740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.665522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.537054image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.125242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.764586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.404863image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.715429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.793766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.572621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.434553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.394068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.332181image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.266875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.182607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.080032image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.720569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.198383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.823069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.711008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.281993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:39.970329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.593929image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.841017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:09.909626image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.696266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.563627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.521780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.466034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.394439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.351443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.256037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:26.887354image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.354898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:31.987715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:34.872910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.441253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:40.238003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.792066image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:07.960983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.024999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.852304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.682074image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.654068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.596549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.516621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.523119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.444518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.047150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.515018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:32.152385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.038419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.606348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:40.446028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:43.959807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.076888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.140177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:11.989221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.798061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.766696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.717890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.631544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.711887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.607069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.198385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.673334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:32.308585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.212121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.753917image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:40.621845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:44.121641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:08.202061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:10.255750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:12.105322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:13.914515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:15.889070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:17.839111image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:19.751739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:21.882043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:24.794112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:27.353324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:29.829223image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:32.484890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:35.365016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:37.907088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-02-12T22:55:40.780082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-02-12T22:55:51.594373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Video Initial Max DL Rate(kbps)E2E RTT(ms)Average Rate of Playing phase (kbps)Initial Buffering Latency(ms)Stalling RatioVideo Total DL Rate(kbps)Stalling LengthPlaying LengthTotal time of Playing phase (kbps)Stalling timesvideo bitrateVideo Initial buffer downloadSQualitySLoadingStallingVMoS
Video Initial Max DL Rate(kbps)1.000-0.1850.200-0.756-0.3020.3010.0580.0110.104-0.015-0.0280.1260.1260.2890.2780.276
E2E RTT(ms)-0.1851.0000.0790.6740.154-0.1760.023-0.027-0.138-0.016-0.001-0.045-0.046-0.292-0.218-0.215
Average Rate of Playing phase (kbps)0.2000.0791.000-0.048-0.2680.2360.175-0.020-0.027-0.045-0.0250.0320.0290.0030.0870.089
Initial Buffering Latency(ms)-0.7560.674-0.0481.0000.314-0.324-0.017-0.028-0.171-0.0020.024-0.097-0.097-0.393-0.345-0.341
Stalling Ratio-0.3020.154-0.2680.3141.000-0.1610.1200.000-0.1950.0890.089-0.056-0.057-0.105-0.329-0.337
Video Total DL Rate(kbps)0.301-0.1760.236-0.324-0.1611.000-0.7470.7870.085-0.7930.7800.789-0.725-0.5620.910-0.656
Stalling Length0.0580.0230.175-0.0170.120-0.7471.000-0.855-0.0190.836-0.824-0.7860.8020.581-0.8070.749
Playing Length0.011-0.027-0.020-0.0280.0000.787-0.8551.0000.236-0.8620.8680.813-0.820-0.6220.813-0.797
Total time of Playing phase (kbps)0.104-0.138-0.027-0.171-0.1950.085-0.0190.2361.0000.213-0.0010.044-0.0060.0140.0980.086
Stalling times-0.015-0.016-0.045-0.0020.089-0.7930.836-0.8620.2131.000-0.851-0.8100.8160.640-0.8130.770
video bitrate-0.028-0.001-0.0250.0240.0890.780-0.8240.868-0.001-0.8511.0000.862-0.736-0.6580.775-0.831
Video Initial buffer download0.126-0.0450.032-0.097-0.0560.789-0.7860.8130.044-0.8100.8621.000-0.672-0.4670.772-0.693
SQuality0.126-0.0460.029-0.097-0.057-0.7250.802-0.820-0.0060.816-0.736-0.6721.0000.687-0.7020.786
SLoading0.289-0.2920.003-0.393-0.105-0.5620.581-0.6220.0140.640-0.658-0.4670.6871.000-0.5610.822
Stalling0.278-0.2180.087-0.345-0.3290.910-0.8070.8130.098-0.8130.7750.772-0.702-0.5611.000-0.640
VMoS0.276-0.2150.089-0.341-0.337-0.6560.749-0.7970.0860.770-0.831-0.6930.7860.822-0.6401.000

Missing values

2023-02-12T22:55:44.354879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-02-12T22:55:44.846942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Video Initial Max DL Rate(kbps)E2E RTT(ms)Average Rate of Playing phase (kbps)Initial Buffering Latency(ms)Stalling RatioVideo Total DL Rate(kbps)Stalling LengthPlaying LengthTotal time of Playing phase (kbps)Stalling timesvideo bitrateVideo Initial buffer downloadSQualitySLoadingStallingVMoS
04945054371911080.03795.0030013300130293416459444.334.045.03.96
15051752590210950.05859.0030006300060290315553564.334.055.03.96
24798847580610510.05857.0030006300060290315354444.334.085.03.98
35645755597810990.05989.0030003300030290315340924.334.055.03.96
45669054593111330.05932.0030005300050293415821924.334.025.03.95
57400058621211320.06167.0030002300020293415418924.334.025.03.95
65817854614610200.06162.0030004300040290316328924.334.105.03.99
76676258615410290.06150.0030006300060290315484964.334.105.03.98
84844557612711330.06148.0030005300050290315324594.334.025.03.95
9733775261779730.06172.0030008300080293416757924.334.145.04.00
Video Initial Max DL Rate(kbps)E2E RTT(ms)Average Rate of Playing phase (kbps)Initial Buffering Latency(ms)Stalling RatioVideo Total DL Rate(kbps)Stalling LengthPlaying LengthTotal time of Playing phase (kbps)Stalling timesvideo bitrateVideo Initial buffer downloadSQualitySLoadingStallingVMoS
178522385282858058160.04.05607403000830008029341587692.04.334.255.0
178523361222961009230.04.02614403000630006029341656292.04.334.175.0
178524484454455379010.04.02559303001630016029031528892.04.334.195.0
178525602123158216550.04.10610403001030010029341639492.04.334.375.0
1785262184032579913110.03.90592103000330003029341596992.04.333.905.0
1785272721844552711340.03.95560503001730017029341582192.04.334.025.0
178528258792861089380.04.01615903000530005029341556892.04.334.165.0
178529463124253858700.04.03568103001230012029341542107.04.334.215.0
178530365072458337730.04.06609703000630006029031572292.04.334.295.0
1785311757093414219170.03.72420903002030020029031560593.04.333.515.0

Duplicate rows

Most frequently occurring

Video Initial Max DL Rate(kbps)E2E RTT(ms)Average Rate of Playing phase (kbps)Initial Buffering Latency(ms)Stalling RatioVideo Total DL Rate(kbps)Stalling LengthPlaying LengthTotal time of Playing phase (kbps)Stalling timesvideo bitrateVideo Initial buffer downloadSQualitySLoadingStallingVMoS# duplicates
23016106518259214.1221.0048524145585830003329031528115.004.331.001.003
33016106518259214.122485.00241455858300033290315281154.331.001.001.003
629025127590270070.0821.45564522632776630029129031540295.004.331.513.363
639025127590270070.0825645.00226327766300291290315402954.331.513.361.453
801050473563931370.0323.0755849282907930007129341545792.004.332.854.363
811050473563931370.0325584.0092829079300071293415457924.332.854.363.073
1301492981563820290.0003.68563003000530005029031558939.004.333.445.003
1311492981563820290.0005630.00030005300050290315589394.333.445.003.683
21020160107593537280.0003.18572503000430004029661566556.004.342.585.003
21120160107593537280.0005725.00030004300040296615665564.342.585.003.183